Finding credibility clues on Twitter

["DAVID FARBER" <dfarber () me com>]

Begin forwarded message:

> From: Lauren Weinstein <lauren () vortex com>
> Date: January 27, 2017 at 3:14:29 PM EST
> To: nnsquad () nnsquad org
> Subject: [ NNSquad ] Finding credibility clues on Twitter
>
>
> Finding credibility clues on Twitter
>
> https://www.sciencedaily.com/releases/2017/01/170127131306.htm
>
>      By scanning 66 million tweets linked to nearly 1,400
>    real-world events, researchers have built a language model
>    that identifies words and phrases that lead to strong or weak
>    perceived levels of credibility on Twitter. Their findings
>    suggest that the words of millions of people on social media
>    have considerable information about an event's credibility --
>    even when an event is still ongoing.
>
> - - -
>
> --Lauren--



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